--- library_name: transformers tags: - generated_from_trainer model-index: - name: remove_copy_transformer results: [] --- # remove_copy_transformer This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0020 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 0.0005 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 3.1594 | 1.0 | 28 | 2.8804 | | 2.7543 | 2.0 | 56 | 2.7460 | | 2.635 | 3.0 | 84 | 2.6926 | | 2.5946 | 4.0 | 112 | 2.6332 | | 2.5443 | 5.0 | 140 | 2.5994 | | 2.5115 | 6.0 | 168 | 2.5734 | | 2.4775 | 7.0 | 196 | 2.5500 | | 2.43 | 8.0 | 224 | 2.5322 | | 2.4216 | 9.0 | 252 | 2.5236 | | 2.3892 | 10.0 | 280 | 2.5190 | | 0.0042 | 1.0 | 27339 | 0.0036 | | 0.0021 | 2.0 | 54678 | 0.0020 | ### Framework versions - Transformers 4.50.0.dev0 - Pytorch 2.5.1+cxx11.abi - Datasets 3.4.0 - Tokenizers 0.21.1